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English Information

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Authors
# Name
1 Ana Rosa Nascimento(rosa.nascialmeida@usp.br)
2 Matheus Rigato(matheus_rigato@usp.br)
3 João Santos(joaovlpss@usp.br)
4 João Neres de Sousa(joaovneres@usp.br)
5 Caetano Traina Jr.(caetano@icmc.usp.br)
6 Mirela Cazzolato(mirela@icmc.usp.br)

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Reference
# Reference
1 Chajia, M. and Nfaoui, E. H. (2024). Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression. Future Internet, 16(12). DOI: 10.3390/fi16120453.
2 da Costa, L. S., Oliveira, I. L., and Fileto, R. (2023). Text classification using embeddings: a survey. Knowledge and Information Systems, 65(7):2761–2803. DOI: 10.1007/s10115-023-01856-z.
3 Kanumolu, G., Madasu, L., Surange, N., and Shrivastava, M. (2024). TeClass: A human-annotated relevance-based headline classification and generation dataset for Telugu. In Proceedings of the Joint Intl. Conf. on Computational Linguistics, Language Resources and Evaluation, pages 15711–15720, Torino, Italia. ELRA and ICCL.
4 Passos, T. S., Santana, M. F. S., Cordero-Ramos, N., and Almeida-Santos, M. A. (2022). Profile of Reported Trafficking in Persons in Brazil Between 2009 and 2017. Journal of Interpersonal Violence, 37(11-12):NP8257–NP8273. DOI: 10.1177/0886260520976219.
5 Reimers, N. and Gurevych, I. (2021a). all-MiniLM-L6-v2: Lightweight Sentence Transformer Model. https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2. Sentence-Transformers model on Hugging Face Model Hub.
6 Reimers, N. and Gurevych, I. (2021b). paraphrase-multilingual-MiniLM-L12-v2: Multilingual Sentence Embedding Model. https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2. Sentence-Transformers model on Hugging Face Model Hub.
7 Rollo, F., Po, L., and Bonisoli, G. (2022). Online News Event Extraction for Crime Analysis. In Proceedings of the 30th Italian Symposium on Advanced Database Systems (SEBD 2022), volume 3194 of CEUR Workshop Proceedings, pages 257–264. CEUR-WS.org. URL: https://ceur-ws.org/Vol-3194/paper28.pdf.
8 Saxena, V. K., Ashpole, B., Van Dijck, G., and Spanakis, G. (2025). "MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data". In Findings of the Association for Computational Linguistics, pages 4334–4373, Vienna, Austria. ACL 2025. DOI: 10.18653/v1/2025.findings-acl.225.
9 United Nations Office on Drugs and Crime (2024). Global Report on Trafficking in Persons 2024. United Nations, Vienna. United Nations publication E.24.XI.11.